Digividuals – a bot that collects data online to make the data more human

Their timeline was impossible, The client wanted to use their own panel, client didn’t really understand the tool, decided to learn as they went because it was COKE afterall, who says no to coke?

Turned out the dataset was too small, there was no texture to it, the timeline was too tight so they ended up writing a crappy report – they learned nothing new –> they failed spectacularly

But they learned a lot from their mistakes

No clarity on the use of the outputs – they didn’t know whether a data person or a business person would be using the data

Didn’t understands strengths or weaknesses of the tool – they used a screwdriver on a nail and tried desperately to make it work

They didn’t raise the flag soon enough

They didn’t have realistic timelines for a brand new methodology, new methods need buffer times

Vendor knew they had a good tool but the client hated it. The vendor asked the client if they would try again but do everything right – use the tool as designed, define the problem correctly, understand it’s a beta test, set the right expectations, use realistic timeslines

They agreed to share the risk, share half the costs, They don’t believe you should do things for clients for free [YAY! I wrote on post on working for free for HuffPost. Have a peak here.]

[How refreshing to hear about the failures. We ALL fail and are quiet about them. Why not help everyone learn from them.]